Project for Intro to Deep Learning @ IU. Task was to combine two machine learning methods. I combined and autoencoder with a basic feed-forward neural network. Autoencoder was used to reduce ...

Several works point out the usefulness of autoencoders in multiple computer vision tasks such as anomaly detection, image denoising, or even image classification. The encoded layer of an ...

The presented work proposes an effective approach for extracting abstract characteristics from image data using the autoencoder-based models. Since simple autoencoders do not deliver the desired ...

Figure 3 Source-, goal-, and channel-orientation for higher spectrum efficiency. Moreover, ... for its final decision. If the shortcuts are intact, the classification will be correct. If the shortcuts ...

The presented work proposes an effective approach for extracting abstract characteristics from image data using the autoencoder-based models. Since simple autoencoders do not deliver the desired ...